Agroecology /Weed Ecology

Last Update 3/29/05

Maxwell & Rew Lab Group, 2005

·         Dr. Bruce Maxwell, Professor

·         Dr. Lisa Rew, Research Assistant Professor

·         Monica Brelsford, Research Associate

·         Frank Dougher, Research Associate

·         Mara Johnson, Research Associate

·         Erik Lehnhoff, Ph.D. Student

·         Brad Bauer, M.S. Student

·         Fred Pollnac, M.S. Student

Classes

Argentina.

Agroecology Short Course

Rosario

Balcarce

Bahia Blanca

LRES 443. Weed Ecology & Management

LRES 440C

Capstone

LRES 569: MSSE Ecology of Invasive Plants

LRES 543. Agroecology

LRES 580. Bridging Principles and Practices of Sustainable Agriculture

 Research

Land Use Change:    

  1. EPA Paradise Valley 
  2. Four Corners, Gallatin Co. 
  3. Teton Co., ID
  4. Park Co., MT  
  5. S. of Bozeman, MT
  6. Manhatten, MT
  7. Three Forks, MT

Land Use Planning Tools

Invasive Plant Ecology:

  1. Link to Modified Incidence Function Model
  2. Inventory and monitoring
  3. Non-native Plants Survey of the Greater Yellowstone Inventory and Monitoring Network- Year 3 (Final Report)
  4. Tansy Ragwort (Senecio jacobaea)
  5. Yellow Taodflax (Linaria vulgaris)
  6. Yellowstone NP Northern Range Exotic Plant Inventory
  7. Bighorn Canyon Inventory and Weed Management Plan
  8. Elk,Wolves & Weeds: Trophic Cascades
  9. Wild Fire & Weeds Literature Review
  10. Linking Forest Successional Models and Economic Models To Assess Impacts of Invasive Plants

Site-Specific  Agricultural Management:

  1. Multiple input economic and environmental optimization
  2. Input Optimization Model (SAIO)
  3. Remote sensing weeds
  4. Weed Mapping Accuracy

Wild Oat Studies:

  1. Long-term thresholds and seed banks
  2. Multi-trophic level interactions (w.o. and wheat stem sawfly)
  3. Defining habitat at the field scale.

Sustainable Pest Management:

  1. Weed population temporal and spatial dynamics in response to dryland cropping systems.
  2. Weed species diversity and subsequest Impact in Organic vs Conventional systems

Herbicide Resistance Evolution Models:

  1. RSIM
  2. New Empirical Model for Predicting Resistance Evolution in a Population
  3. Regional Spread Model

MISC.

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SSIOS_output.JPG (115300 bytes)

Google

 

Statistics & Modeling

Models

Internet Search

Links

Favorite Quotes

List of Papers and Reprints 

Student Internships & Jobs

 

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Montana Crops & Crop Profiles

News Releases

Issues

Bibliography

CIPM

MC

Weed group study sites (Montana map)

Weed Research at Montana State University

Weed Ecology Group Fun